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AlphaFold heralds a data-driven revolution in biology and medicine

Nature Medicine volume 27, pages 1666–1669 (2021)Cite this article

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Protein structures predicted using artificial intelligence will aid medical research, but the greatest benefit will come if clinical data can be similarly used to better understand human disease.

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Fig. 1: The good, the bad and the ugly.
Fig. 2: Confidence scores for AlphaFold models.
Fig. 3: Using AlphaFold for drug design and disease-associated variants.

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Authors and Affiliations

  1. European Bioinformatics Institute - European Molecular Biology Laboratory EMBL-EBI, South Building, Wellcome Genome Campus, Hinxton, UK

    Janet M. Thornton, Roman A. Laskowski & Neera Borkakoti

Authors
  1. Janet M. Thornton
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  2. Roman A. Laskowski
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  3. Neera Borkakoti
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Contributions

J.M.T. wrote the first draft of the article, and R.A.L. and N.B. edited and improved it. R.A.L. performed the analyses and created the figures.

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Correspondence to Janet M. Thornton.

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Competing interests

J.M.T. sits on the board of Health Data Research UK.

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Thornton, J.M., Laskowski, R.A. & Borkakoti, N. AlphaFold heralds a data-driven revolution in biology and medicine. Nat Med 27, 1666–1669 (2021). https://doi.org/10.1038/s41591-021-01533-0

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